LA FORGIA, DOMENICO
LA FORGIA, DOMENICO
A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification
2022-01-01 Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Diotaiuti, S.; Giotta, F.; Latorre, A.; La Forgia, D.; Nardone, A.; Pomarico, D.; Ressa, C. M.; Rizzo, A.; Tamborra, P.; Zito, A.; Lorusso, V.; Fanizzi, A.
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
2022-01-01 Bove, S.; Comes, M. C.; Lorusso, V.; Cristofaro, C.; Didonna, V.; Gatta, G.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Fanizzi, A.; Massafra, R.
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer
2022-01-01 Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R.
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
2023-01-01 Massafra, R.; Fanizzi, A.; Amoroso, N.; Bove, S.; Comes, M. C.; Pomarico, D.; Didonna, V.; Diotaiuti, S.; Galati, L.; Giotta, F.; La Forgia, D.; Latorre, A.; Lombardi, A.; Nardone, A.; Pastena, M. I.; Ressa, C. M.; Rinaldi, L.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Bellotti, R.; Lorusso, V.
Decision support systems for the prediction of lymph node involvement in early breast cancer
2021-01-01 Massafra, R.; Pomarico, D.; La Forgia, D.; Bove, S.; Didonna, V.; Latorre, A.; Russo, A. O.; Tamborra, P.; Lorusso, V.; Fanizzi, A.
Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms
2017-01-01 Fanizzi, A.; Basile, T. M. A.; Losurdo, Leonardo; Amoroso, N.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, Raffaella; Moschetta, M.; Tamborraa, P.; Tangaro, S.; LA FORGIA, Domenico
Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer
2023-01-01 Fanizzi, A.; Pomarico, D.; Rizzo, A.; Bove, S.; Comes, M. C.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
Nutrition as Personalized Medicine against SARS-CoV-2 Infections: Clinical and Oncological Options with a Specific Female Groups Overview
2022-01-01 Dellino, M.; Cascardi, E.; Vinciguerra, M.; Lamanna, B.; Malvasi, A.; Scacco, S.; Acquaviva, S.; Pinto, V.; Di Vagno, G.; Cormio, G.; De Luca, R.; Lafranceschina, M.; Cazzato, G.; Ingravallo, G.; Maiorano, E.; Resta, L.; Daniele, A.; La Forgia, D.
Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study
2021-01-01 Fanizzi, A.; Pomarico, D.; Paradiso, A.; Bove, S.; Diotiaiuti, S.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome
2020-01-01 la Forgia, D.; Fanizzi, A.; Campobasso, F.; Bellotti, R.; Didonna, V.; Lorusso, V.; Moschetta, M.; Massafra, R.; Tamborra, P.; Tangaro, S.; Telegrafo, M.; Pastena, M. I.; Zito, A.
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE‐MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy
2022-01-01 Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Gatta, G.; Giotta, F.; Fanizzi, A.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Paradiso, A. V.
Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features
2021-01-01 Fanizzi, A.; Lorusso, V.; Biafora, A.; Bove, S.; Comes, M. C.; Cristofaro, C.; Digennaro, M.; Didonna, V.; La Forgia, D.; Nardone, A.; Pomarico, D.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Massafra, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification | 1-gen-2022 | Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Diotaiuti, S.; Giotta, F.; Latorre, A.; La Forgia, D.; Nardone, A.; Pomarico, D.; Ressa, C. M.; Rizzo, A.; Tamborra, P.; Zito, A.; Lorusso, V.; Fanizzi, A. | |
| A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients | 1-gen-2022 | Bove, S.; Comes, M. C.; Lorusso, V.; Cristofaro, C.; Didonna, V.; Gatta, G.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Fanizzi, A.; Massafra, R. | |
| Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer | 1-gen-2022 | Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R. | |
| Analyzing breast cancer invasive disease event classification through explainable artificial intelligence | 1-gen-2023 | Massafra, R.; Fanizzi, A.; Amoroso, N.; Bove, S.; Comes, M. C.; Pomarico, D.; Didonna, V.; Diotaiuti, S.; Galati, L.; Giotta, F.; La Forgia, D.; Latorre, A.; Lombardi, A.; Nardone, A.; Pastena, M. I.; Ressa, C. M.; Rinaldi, L.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Bellotti, R.; Lorusso, V. | |
| Decision support systems for the prediction of lymph node involvement in early breast cancer | 1-gen-2021 | Massafra, R.; Pomarico, D.; La Forgia, D.; Bove, S.; Didonna, V.; Latorre, A.; Russo, A. O.; Tamborra, P.; Lorusso, V.; Fanizzi, A. | |
| Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms | 1-gen-2017 | Fanizzi, A.; Basile, T. M. A.; Losurdo, Leonardo; Amoroso, N.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, Raffaella; Moschetta, M.; Tamborraa, P.; Tangaro, S.; LA FORGIA, Domenico | |
| Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer | 1-gen-2023 | Fanizzi, A.; Pomarico, D.; Rizzo, A.; Bove, S.; Comes, M. C.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
| Nutrition as Personalized Medicine against SARS-CoV-2 Infections: Clinical and Oncological Options with a Specific Female Groups Overview | 1-gen-2022 | Dellino, M.; Cascardi, E.; Vinciguerra, M.; Lamanna, B.; Malvasi, A.; Scacco, S.; Acquaviva, S.; Pinto, V.; Di Vagno, G.; Cormio, G.; De Luca, R.; Lafranceschina, M.; Cazzato, G.; Ingravallo, G.; Maiorano, E.; Resta, L.; Daniele, A.; La Forgia, D. | |
| Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study | 1-gen-2021 | Fanizzi, A.; Pomarico, D.; Paradiso, A.; Bove, S.; Diotiaiuti, S.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
| Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome | 1-gen-2020 | la Forgia, D.; Fanizzi, A.; Campobasso, F.; Bellotti, R.; Didonna, V.; Lorusso, V.; Moschetta, M.; Massafra, R.; Tamborra, P.; Tangaro, S.; Telegrafo, M.; Pastena, M. I.; Zito, A. | |
| Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE‐MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy | 1-gen-2022 | Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Gatta, G.; Giotta, F.; Fanizzi, A.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Paradiso, A. V. | |
| Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features | 1-gen-2021 | Fanizzi, A.; Lorusso, V.; Biafora, A.; Bove, S.; Comes, M. C.; Cristofaro, C.; Digennaro, M.; Didonna, V.; La Forgia, D.; Nardone, A.; Pomarico, D.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Massafra, R. |